Paper Info
Title
Using an Artificial Intelligence-Based Argument Theory to Generate Automated Patient Education Dialogues for Families of Children with Juvenile Idiopathic Arthritis.
Abstract
Juvenile Idiopathic Arthritis (JIA) is the most common chronic rheumatic disease of childhood, with outcomes including pain, prolonged dependence on medications, and disability. Parents of children with JIA report being overwhelmed by the volume of information in the patient education materials that are available to them. This paper addresses this educational gap by applying an artificial intelligence method, based on an extended model of argument, to design and implement a dialogue system that allows users get the educational material they need, when they need it. In the developed system, the studied model of argument was leveraged as part of the system's dialogue manager. A qualitative evaluation of the system, using cognitive walkthroughs and semi-structured interviews with JIA domain experts, suggests that these methods show great promise for providing quality information to families of children with JIA when they need it.
Year
DOI
Venue
2019
10.3233/SHTI190444
Studies in Health Technology and Informatics
Keywords
Field
DocType
Patient Education,Artificial Intelligence,Semantic Web
Juvenile,Medical education,Arthritis,Knowledge management,Patient education,Medicine
Conference
Volume
ISSN
Citations 
264
0926-9630
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Benjamin Rose-Davis100.68
William Van Woensel210315.32
Elizabeth Stringer300.34
Samina Raza Abidi412822.99
Syed Sibte53213.61